Dome raised $500,000 in a pre-seed round via Y Combinator's standard deal in September 2025 as part of YC's Fall 2025 batch.

This was the company's first disclosed funding round since its founding in 2024. The founders previously worked as early engineers at Alchemy, building crypto infrastructure and working with prediction market platforms such as Polymarket during high-volume periods.

Dome provides a unified API that aggregates prediction markets like Polymarket and Kalshi into a single interface for developers. Instead of learning multiple platform-specific APIs and managing separate blockchain infrastructure, developers can access normalized data feeds and trading capabilities through one endpoint.

The product reads from Polymarket's on-chain GraphQL endpoints and Kalshi's regulated REST APIs, then standardizes responses into consistent JSON schemas. Developers install the SDK, obtain an API key, and can query market prices, historical data, and order book information across platforms with identical function calls.

Key features include real-time WebSocket streams for millisecond-level price updates, historical order book snapshots that native platforms do not expose publicly, and cross-platform market matching that identifies the same events across different venues. The platform also offers an order routing system in beta that accepts signed transactions and relays them to the selected execution venue.

For high-frequency traders and market makers, Dome offers sub-second latency by reading directly from blockchain sources rather than wrapping existing APIs. Analytics builders access wallet profit-and-loss tracking, candlestick data, and trade history that would otherwise require running their own infrastructure.

Dome is a B2B SaaS platform for developers, trading firms, and fintech companies building prediction market applications. The company monetizes through tiered subscription plans based on API usage limits and premium features, rather than per-seat pricing.

The freemium model allows unlimited users per account while charging based on consumption via credits and rate limits. Pricing matches platform usage and drives account expansion as customers scale their applications. Enterprise customers pay for higher throughput, dedicated support, and advanced features such as order routing and custom integrations.

Dome's cost structure includes cloud infrastructure for data processing and storage, and licensing fees to third-party data providers. The company maintains relationships with multiple prediction market platforms and data vendors, allowing customers to use their own API keys at cost or pay through Dome's wholesale arrangements.

The model exhibits network effects as more platforms integrate with Dome's unified interface. Each additional venue increases utility for existing customers and raises switching costs via standardized workflows. Revenue expands primarily through consumption growth as customers build larger applications and require higher API limits.

Polymarket and Kalshi represent the biggest competitive threat through vertical integration of data and trading services. Polymarket offers its own GraphQL APIs and recently signed an exclusive distribution deal with Dow Jones to syndicate odds across Wall Street Journal and MarketWatch properties. Kalshi provides comprehensive REST and WebSocket APIs with official SDKs and has partnered with CNBC to embed probability tickers across their media properties.

CME Group's partnership with FanDuel to launch regulated prediction markets creates another vertically integrated player that can bundle data feeds with traditional futures offerings. These platforms can potentially undercut third-party aggregators by offering preferential pricing to customers who use their native APIs exclusively.

Several startups are building similar unified interfaces for prediction market data. Probalytics focuses on real-time streaming with sub-10 millisecond latency and semantic search across markets, though they lack trading capabilities. PolyRouter positions itself as a direct competitor with cross-platform aggregation and order routing features.

These players compete primarily on data quality, latency, and developer experience. The market remains fragmented enough that multiple API providers can coexist, but consolidation pressure may increase as prediction market volumes grow and platforms become more selective about data partnerships.

Bloomberg, Refinitiv, and other established financial data providers represent potential competitive threats as prediction markets mature. These incumbents have existing relationships with institutional customers and could add prediction market feeds to their comprehensive data packages. Their advantage lies in enterprise sales capabilities and regulatory compliance infrastructure that startups lack.

Dome can expand beyond raw data APIs into analytics and backtesting tools for institutional customers. Packaging order book data into strategy testing frameworks, factor libraries, and probability indices would position prediction markets as a new asset class for quantitative funds and corporate treasury teams. The growing institutional interest in prediction markets creates demand for professional-grade tools.

Agent-ready endpoints represent another expansion opportunity as AI trading systems increasingly target prediction markets. Building low-latency streaming SDKs with sandbox environments could capture a significant share of algorithmic trading workflows projected to provide substantial liquidity by 2026.

Embeddable probability widgets offer a path into media and corporate dashboard markets. Following the success of financial data integrations across news platforms, Dome could provide turnkey solutions for newsrooms and fintech applications to surface live probabilities without direct exchange relationships.

Institutional adoption remains the largest growth vector as hedge funds and trading desks recognize prediction markets as alternative data sources. The platform can develop FIX protocol bridges and compliance reporting to match traditional financial data vendor standards for professional customers.

Sports betting operators represent a natural expansion as prediction market volumes shift toward sports events. Integrating with sportsbook pricing systems allows Dome to monetize the same data across both trading and odds-setting use cases.

Corporate hedging applications create opportunities in treasury and risk management. Companies can use prediction market contracts for weather, commodity prices, and economic indicators as hedging instruments, requiring specialized dashboard and risk calculation tools.

European markets offer expansion opportunities under MiCA regulations and the UK's lighter regulatory approach to event contracts. Adding EU-licensed venues like Smarkets and Zeitgeist requires minimal engineering while accessing new customer bases and market categories.

Asian markets, particularly those with active crypto trading communities, represent longer-term expansion targets. Local prediction market platforms and regulatory frameworks continue developing, creating opportunities for API aggregation services as these markets mature.

Platform dependency: Dome's business model relies entirely on maintaining API access to prediction market platforms that could restrict or eliminate third-party integrations. If major platforms like Polymarket or Kalshi decide to close their APIs or impose prohibitive terms, Dome would lose access to core data sources and face material revenue impact.

Regulatory uncertainty: The prediction market industry faces ongoing regulatory scrutiny that could materially change the competitive landscape. New restrictions on offshore platforms, changes to CFTC oversight, or state-level gambling regulations could eliminate key data sources or force costly compliance modifications that impact margins and growth.

Market concentration: Despite a thesis of fragmentation, the prediction market industry could consolidate around a few platforms that capture most liquidity and trading volume. If Polymarket and Kalshi retain most liquidity and trading volume while smaller venues remain subscale, Dome's value proposition as a cross-platform aggregator diminishes.